It is nice that you raise this issue. I think most of the others working
with Julia has experience from C or Python which also have the same
semantics. I'll make an attempt to sum up how things work in this case.
1.
`a += b` is just fancy syntax for `a = a + b`.
If you look at
Actually, we already have an issue, it's just something I haven't gotten
around to building a workaround for yet.
https://github.com/JuliaLang/julia/issues/4341
On Sat, Jan 25, 2014 at 12:26 AM, Viral Shah vi...@mayin.org wrote:
We expect to fix this in the upcoming 0.3 release. Until then, it
As soon as possible:
From an array select rows that meet the condition and use them to create a
new array?
The condition is such col3 0.5
Is loop and gluing the selected rows? Is there a ready command?
In other words, a simple filter ...
Thx Mauro
I need opositly dimension , for row is thru this:
julia a = rand(10,10)
10x10 Array{Float64,2}:
...
julia a[a[:,3].0.5,:]
Paul
W dniu sobota, 25 stycznia 2014 12:18:01 UTC+1 użytkownik paul analyst
napisał:
As soon as possible:
From an array select rows that meet the
Suppose I define a composite type T.
type T
xx::Int
yy::Int
end
juliaT
(xx,yy)
I want to change what the repl prints when I do T[enter] on the command
line. Which function should I change to to do this (the equivalent of
T.__repr__() in Python).
Thanks,
Shoibal.
You need to override Base.show(io::IO, foo:T)
show()’s definition provides the basis for most other printing methods.
— John
On Jan 25, 2014, at 3:22 AM, Shoibal Chakravarty shoib...@gmail.com wrote:
Suppose I define a composite type T.
type T
xx::Int
yy::Int
end
juliaT
Regarding the `x::Int = 5` behavior, I just had a conversation with Jeff
and Stefan yesterday where they helped me understand better how that works.
My understanding certainly still may be flawed or incomplete, in which case
I welcome corrections.
The syntax `x::Int` can mean a few different
I think what this question boils down to is this: All else being equal
(performance, price, support), which language is ultimately nicer to
program in?
Mathematica is a fantastic - if not the best around - DSL for symbolic
maths. It's term-rewriting paradigm is pretty much perfectly suited
You're right, I'm sorry for not numbering my thoughts or anything.
Some of these, such as the arrow key thing, sound like they might be better
as a github issue. I don't know what the expected behavior on windows is.
The issue is process termination, but don't Shift+Arrow and Ctrl+Arrow work
make always ends in something like this
make[2]: *** [/Users/felixzilla/codebox/julia/usr/lib/libfftw3f.dylib]
Error 1
make[1]: *** [julia-release] Error 2
make: *** [release] Error 2
always with a different .dylib Eror 1
some are
install_name_tool: object:
Rajn,
If I could make a recommendation, perhaps you might find more success with
ubuntu 12.04 on a virtual machine on your windows machine. I have step by
step instructions here:
http://juliaforall.blogspot.com/2014/01/installation-and-configuration-vm.html
Then to get matplotlib working these
The basic issue is that you can't overload function application in Julia
(https://github.com/JuliaLang/julia/issues/2403). So, unless PyCall can
detect that an object corresponds to a Function-like type, it doesn't
automatically convert it to Function or make it callable.
Let's keep the conversation on the list. That way, people who know more
about Julia than I do can tell me when I'm wrong.
On Sat, Jan 25, 2014 at 1:29 AM, Акатер Дима ... wrote:
Thank you.
The biggest advantage of Julia over Mathematica is that Julia tries
to make its semantics obvious
Just do this:
git clone https://github.com/JuliaLang/julia.git
cd julia
make
It will take a while, but it will download all the things you need under
the deps directory, configure them, compile them, and then compile julia
using those versions. Later, if you don't want it anymore, just delete
On Saturday, January 25, 2014 9:24:17 PM UTC+2, Jason Merrill wrote:
mma data = RandomReal[1.,1*^7]; min = .2; max = .3;
mma Total@Unitize@Clip[data,{min,max},{0,0}]
I claim that it takes *a lot* of experience to know that that is the code
that is going to be fast, compared to the
If you install packages with Pkg.add() you will also need to delete the
~/.julia folder and
The .julia_history and .julia_history2 files I think is obvious.
kl. 20:37:03 UTC+1 lørdag 25. januar 2014 skrev Stefan Karpinski følgende:
Just do this:
git clone
So I've gotten everything up and running with Julia and Python but PyCall
isn't working from either Julia Studio or when I run a script from Terminal.
It works when I use it interactively but otherwise will just sit there
forever and produce on output and I have to stop it manually.
Hi Stefan,
I having more trouble with Linux as you will see from my other post
(concerning Linux issues) and that is because I have R installed - so some
issues with RMath library. Instead why I tried to build it myself from the
Git it gives a crash status. Found out some issues with Xubuntu.
That
Hi Bert,
I also have a virtual Xubuntu. However, when I tried building Julia from
Github it did not work. So I am guessing that even virtual Xubuntu will not
work. However, I should try Virtual Ubuntu 12.04 as you suggested.
Thanks
On Sat, Jan 25, 2014 at 3:31 PM, Rajan Gurjar
Hi Stefan,
This is what I tried when I printed out the error in my last post to which
you have probably responded. I am sorry I was not precise. Or may be not -
I actually cloned from http and not https. Would that make a difference? Is
that what you are suggesting?
And Ivar I am not sure what you
Sorry, I cannot figure how to edit my messages once I post them and then
find a mistake...
Anyway, Stefan, I am sorry - I has used git:\ instead of https. I am right
now trying your suggestion
Will post the results.
On Sat, Jan 25, 2014 at 3:38 PM, Rajan Gurjar rjngrj2...@gmail.com wrote:
Hi
Sorry, I see that it might be unclear what I talked about.
Stefan said that you would just have to delete the directory you compiled
julia in to get rid of everything. I just listed the folder (and files)
that julia might leave behind if you want to get rid of it.
kl. 21:38:49 UTC+1 lørdag
ERROR: StateError(Resource temporarily unavailable)
This error was recently fixed. Try running Pkg.update() and restarting IJulia.
Additionally, I'd like to be able to use the ijulia analog of
julia --machinefile fn
Is there something I need to add to my ipython julia profile to make this
This is what I get when I do what Stefan suggested.
LINK usr/bin/julia-readline
CC ui/repl-basic.o
LINK usr/bin/julia-basic
osutils.jl
Illegal instruction (core dumped)
make[1]: *** [/home/rajan/julia/usr/lib/julia/sys0.bc] Error 132
make: *** [release] Error 2
and ./julia
System image
Is there a specific reason that you must build julia from source? I use the
nightly builds and haven't had many issues. I've built a project that makes
use of matplotlib and calls out to 3rd party apis and haven't found any
instances where using the nightly builds has been an obstacle.
On
1、when we run julia through command “julia”，Which parts is invoked？how
julia worked？where is the entry functions？
2、when we run julia through command “julia --machine file test.jl ” ,which
parts is invoked？
Thanks
I tried running Pkg.update() and restarting IJulia, with the same error.
I'm using the Julia installed from github two days ago. Any other ideas
what might be going on?
On Saturday, January 25, 2014 1:59:55 PM UTC-8, Jiahao Chen wrote:
ERROR: StateError(Resource temporarily unavailable)
This was the fix in Julia (2 days ago) that corrected it -
https://github.com/JuliaLang/julia/commit/390f466d23798b47ba6be40ee5777e21642569bb
Yo may want to pull the latest Julia and try again.
On Sun, Jan 26, 2014 at 9:36 AM, Madeleine Udell
madeleine.ud...@gmail.comwrote:
I tried running
When using SharedArrays with pmap, I'm getting an increase in memory usage
and time proportional to the number of tasks. This doesn't happen when
using @parallel. What's the right way to pass shared arrays to workers
using functional syntax?
(code for file q3.jl pasted below and also attached;
That works great. Thanks!
On Thu, Jan 23, 2014 at 8:39 PM, Amit Murthy amit.mur...@gmail.com wrote:
The SharedArray object ha a field loc_shmarr which represents the backing
array. So S.loc_shmarr should work everywhere. But you are right, we need
to ensure that the SharedArray can be used
great, thanks! that works.
On Saturday, January 25, 2014 9:25:28 PM UTC-8, Amit Murthy wrote:
This was the fix in Julia (2 days ago) that corrected it -
https://github.com/JuliaLang/julia/commit/390f466d23798b47ba6be40ee5777e21642569bb
Yo may want to pull the latest Julia and try again.
31 matches
Mail list logo
